Sequential Bayes Factor designs in developmental research: Studies on early word learning
Nivedita Mani; Melanie S. Schreiner; Julia Brase; Katrin Köhler; Katrin Strassen; Danilo Postin; Thomas Schultze · 2021 · Developmental Science
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Developmental research, like many fields, is plagued by low sample sizes and inconclusive findings. The problem is amplified by the difficulties associated with recruiting infant participants for research as well as the increased variability in infant responses. With sequential testing designs providing a viable alternative to paradigms facing such issues, the current study implemented a Sequential Bayes Factor (SBF) design on three findings in the developmental literature. In particular, using the framework described by Schönbrödt and colleagues (2017), we examined infants' sensitivity to mis
Abstract by Nivedita Mani; Melanie S. Schreiner; Julia Brase; Katrin Köhler; Katrin Strassen; Danilo Postin; Thomas Schultze, Developmental Science (2021) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1111/desc.13097